Model
Digital Document
Publisher
Florida Atlantic University
Description
Geographic information systems (GIS) have been increasingly used in urban transportation planning and modeling. One key advantage of GIS is its ability to integrate and analyze various kinds of geographically referenced data. Modeling and analysis tools used to predict travel patterns should be shaped by changes in spatial organization that are currently taking place. Utilizing the detailed data made available by GIS, this study investigates the potential improvements offered to the conventional trip generation and trip distribution models by explicitly referencing the spatial land use and street network patterns within traffic analysis zones (TAZs).
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